Question: The program Example4.java uses Math.log() to compute the N value for the algorithm, and the expected Big-O time is O(log N). Can you find an

The program Example4.java uses Math.log() to compute the N value for

The program Example4.java uses Math.log() to compute the N value for the algorithm, and the expected Big-O time is O(log N). Can you find an N value that results in an experimental run time that is greater than 0 msec? If you could run an experiment using this algorithm, using non-zero run times as you did in Problem #1, how would expect the graph to look when superimposed on the other graphs

public class Example4 public static void main(Stringl] args) long startlime, stopTime I/ For recording start/stop times long x = 0; long I-1/30000L; startTimeSystem. currentTimeMillis for (1ong = 0: Math.log(11); ++) { stopTime System. currentTimeMillis); System. out. println(stopTime startTime msec

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